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This course pairs video with repurposed medical imaging software to revolutionise the way we collect urban data. You’ll learn to map large datasets of cities, pedestrians and traffic, capturing directional movement or seasonal flows of light and activity. Place your cameras, download your freeware and go.
The course curriculum takes a forensic approach to urban mapping using the fine-grain, image-based analysis capabilities of emerging innovative imaging systems. This approach allows ambiguous and often disregarded aspects of city life to form a comprehensive data set.
Through this analytical platform, you’ll learn to synthesise quantitative and qualitative data, broadening your understanding of assessment tools that can be used for urban analysis. This approach also provides new knowledge for architects seeking to understand urban transition patterns.
Course content spans two levels of learning. The first is the practical process of collecting and collating video and processing it through software. The second is focused on valuing, measuring and assessing three different data types:
(a) The distributed city
You will find video data sources in the city that enable you to capture and measure change over time in urban space. You will also learn to set up a data framework from which you can extract information about the urban environment.
(b) The temporal city – 3D volume analysis
You’ll learn to measure data changes over time using 3D image stacking. This process selects multiple images from captured video content and compiles them into volumes of accessible, useable visual data. The timeframes could be 24 hours, a week, seasonal or years. You will also harness PIV (particle image velocimetry) techniques to allow you to understand directional flow over time. This feature is an indispensable inclusion for either the urban planner or architect.
(c) The material city
Finally, you’ll collate your data into urban colour profile montages to reveal and understand the complex materiality of the environment in which you are designing. This tool will allow you to test the contextual impact of your design proposal.
By producing your own RTV model, you’ll learn how to:
Successfully completing the course will equip participants with knowledge and expertise in innovative and emerging digital tools. Participants will gain relevant skills in the application of these tools within the design field allowing for their use in various parts of industry-based projects.
This microcredential aligns with the 3-credit point subject, Urban Analytics and Digital Representation (80119) in the Master of Technology. If you enrol in this course at UTS after successfully completing the micro, specific credit is available for this subject. This microcredential may qualify for recognition of prior learning at this and other institutions.
This course is aimed at professionals and academics in the fields of architecture, spatial design, urban design or architecture with an interest in exploring new cutting-edge digital techniques in urban data gathering.
Face to Face learning through the use of digital tools.
Assessment will be Pass/Fail
To pass this course, participants must have full attendance and complete all submission requirements as per the assessment criteria stated in the subject outline.
Morning and afternoon tea provided
Full price: $2,500 (GST free)
Special price:$ 1,500 (GST free)
To help you build future-focused skills during COVID-19, this course is currently offered at a reduced rate of $1,500 (regular price $2,500).
Please note that discounts cannot be combined. A limit of one discount applies per person per course session.
Dr Linda Matthew’s research is specifically aligned with the idea of utilising the technological capabilities of modern digital viewing technologies to develop new architectural and design methodologies for contemporary urban environments. Linda’s research interests lie in the architectural and urban design methodologies that procedurally utilize the optical logics of digital surveillance systems.
The aim is not only to understand how these systems frame and re-present the city but to use these virtual spaces as a source of qualitative and quantitative information sets that can then be digitally reconfigured to generate architectural and urban form.
Learn about the digital tools that facilitate the design of urban processes in the built environment.
Learn to represent and understand architectural design by producing a real-time visualisation model.
Use 1:1 prototyping to design feedback loops between computational design and robotic fabrication.
Combine imaging software and video with urban-sourced qualitative data to design future cities.
Learn fundamental principles and project applications of architectural lighting design.
Use digital modelling, structural analysis and robotic fabrication to explore complex geometries.
Access and manipulate open GIS data sources for architectural, engineering and construction projects.
Explore the practical applications and integration of drones in architecture projects.
Create and navigate virtual reality environments to provide new insights into architectural design.
Create parametric designs for environmental and structural optimisation of architectural form.